Tunisian Dialect Resources for Opinion Analysis on Social Media

被引：0
|
作者：
Fsih, Emna [1 ]
Boujelbane, Rahma [1 ]
Belguith, Lamia Hadrich [1 ]
机构：
[1] Univ Sfax, ANLP Res Grp, Miracl Lab, Sfax, Tunisia
来源：
2018 JCCO JOINT INTERNATIONAL CONFERENCE ON ICT IN EDUCATION AND TRAINING, INTERNATIONAL CONFERENCE ON COMPUTING IN ARABIC, AND INTERNATIONAL CONFERENCE ON GEOCOMPUTING (JCCO: TICET-ICCA-GECO) | 2018年
关键词：
Opinion; comments; lexicon; Tunisian Dialect (TD); annotation;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Opinion analysis in the Web is becoming more and more an attractive task, due the increasing need of individuals and societies to track the attitude of people against several subjects of daily life (services, products, decisions, etc.). Several tools and corpora have been developed to analyze opinions on well-resourced languages such as standard Arabic, French, English and Spanish. Recently, with the emergency of dialects on social media, opinion dialect began to be studied. We present in this paper a method for opinion lexicon and corpus building. We aim through this work to propose a statistical model to analyze and follow up the opinions of Internet users upon broadcasts, TV and radio programs.
引用
收藏
页码：41 / 47
页数：7
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